code: def __call__(self, data):
      ser_results, ser_inputs = self.ser_engine(data)
      re_input, entity_idx_dict_batch = make_input(
          ser_inputs, ser_results
      )
      if self.model.backbone.use_visual_backbone is False:
          re_input.pop(4)
      preds = self.model(re_input)
      post_result = self.post_process_class(
          preds,
          ser_results=ser_results,
          entity_idx_dict_batch=entity_idx_dict_batch,
      )
      return post_result
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import os
  import sys
  import cv2
  import json
  import paddle
  import paddle.distributed
  from ppocr.data import create_operators, transform
  from ppocr.modeling.architectures import build_model
  from ppocr.postprocess import build_post_process
  from ppocr.utils.save_load import load_model
  from ppocr.utils.visual import draw_re_results
  from ppocr.utils.logging import get_logger
  from ppocr.utils.utility import get_image_file_list, load_vqa_bio_label_maps, print_dict
  from tools.program import ArgsParser, load_config, merge_config
  from tools.infer_kie_token_ser import SerPredictor
label_desc: Use image node_id 2 for calling the SerRePredictor obj's underlying member method code with example usage: obj.__call__(data) and returns: post_result